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https://github.com/danielgy/Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning


https://github.com/danielgy/Paper-list-on-Imbalanced-Time-series-Classification-with-Deep-Learning

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# Paper list of Imbalanced Time-series Classification with Deep Learning

 

## Deep Learning for Imbalanced Time-Series Classification

- [Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks](https://link.springer.com/content/pdf/10.1007%2F978-3-319-46182-3_13.pdf)

- [Cost-sensitive Deep Learning for Early Readmission Prediction at A Major Hospital](http://www.cse.wustl.edu/~ychen/public/biokdd17.pdf)

 

## Deep Learning for Imbalance Classificaiton

### Survey

- [A systematic study of the class imbalance problem in convolutional neural networks](https://arxiv.org/pdf/1710.05381.pdf)

### Cost-Sensitive

- [Cost-Sensitive Learning with Neural Networks](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.13.8285&rep=rep1&type=pdf)

- [Training Cost-sensitive Deep Belief Networks on Imbalance Data Problems](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7727769)

- [Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation](https://arxiv.org/pdf/1611.05134.pdf)

- [Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalanced Problem](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.93.9436&rep=rep1&type=pdf)

- [A Weight-Selection Strategy on Training Deep Neural Networks for Imbalanced Classification]()

- [Cost-Sensitive Learning of Deep Feature Representations from Imbalanced Data](https://arxiv.org/pdf/1508.03422.pdf)

- [Cost-aware Pre-training for Multiclass Cost-sensitive Deep Learning](https://www.ijcai.org/Proceedings/16/Papers/203.pdf)

- [Cost-Sensitive Learning of Deep Feature Representations from Imbalanced Data](https://arxiv.org/pdf/1508.03422.pdf)

### Sampling

- [Effective data generation for imbalance learning using conditional generative adversarial networks](http://www.sciencedirect.com/science/article/pii/S0957417417306346)

- [Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6971101)

- [Learning Deep Representation for Imbalanced Classification](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7780949)

- [Deep Learning for Imbalanced Multimedia Data Classification](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7442383)

### Others

- [CNUSVM: Hybrid CNN-Uneven SVM Model for Imbalanced Visual Learning](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7545019)

- [Training Deep Neural Networks on Imbalanced Data Sets](https://www.google.com.hk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwiT2eT6u5_XAhXIFpQKHZIpAVwQFggoMAA&url=https%3a%2f%2fwww-staff%2eit%2euts%2eedu%2eau%2f~lbcao%2fpublication%2fIJCNN15%2ewang%2efinal%2epdf&usg=AOvVaw0LfKmIbpYO2w4FsN5D3uHH)

- [Deep Learning with MCA-based Instance Selection and Boostrapping for Imbalanced Data Classification](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7423094)

 

## Deep Learning for Time-Series Classification



### Time-Series Classification

- [Predicting Defective Engines using Convolutional Neural Networks on Temporal Vibration Signals](http://proceedings.mlr.press/v74/g%C3%BCnnemann17a/g%C3%BCnnemann17a.pdf)

- [Earliness-Aware Deep Convolutional Networks for Early Time Series Classification](https://arxiv.org/pdf/1611.04578.pdf)

- [Data Augmentation for Time Series Classification using Convolutional Neural Networks](https://aaltd16.irisa.fr/files/2016/08/AALTD16_paper_9.pdf)

- [Multi-Scale Convolutional Neural Networks for Time Series](https://arxiv.org/pdf/1603.06995.pdf)

- [Deep Learning for Time-Series Analysis](https://arxiv.org/pdf/1701.01887.pdf)

- [LSTM Fully Convolutional Networks for Time Series Classification](https://arxiv.org/pdf/1709.05206.pdf)

- [Time series classification using Multi-channels deep convolutinal neural networks](https://link.springer.com/content/pdf/10.1007%2F978-3-319-08010-9.pdf)

- [Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification](http://staff.ustc.edu.cn/~cheneh/paper_pdf/2015/Yi-Zheng-PAKDD.pdf)

- [Exploiting Multi-Channels Deep Convolutional Neural Networks for Multivariate Time Series Classification](http://staff.ustc.edu.cn/~cheneh/paper_pdf/2016/YiZheng-FCS2016.pdf)

- [Encoding Time Series as Images for Visual Inspection and Classification Using Tiled Convolutional Neural Networks ](https://aaai.org/ocs/index.php/WS/AAAIW15/paper/viewFile/10179/10251)

- [Spatially Encoding Temporal Correlations to Classify Temporal Data Using Convolutional Neural Networks](https://arxiv.org/pdf/1509.07481.pdf)



### Application

- [A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series](https://arxiv.org/pdf/1707.03321.pdf)

- [Convolutional Neural Network for Time Series Cattle Behaviour Classification](http://delivery.acm.org/10.1145/3020000/3014342/p8-Kasfi.pdf?ip=60.247.55.207&id=3014342&acc=ACTIVE%20SERVICE&key=BF85BBA5741FDC6E%2E38CD06C27D99D6FF%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&CFID=825021818&CFTOKEN=32704548&__acm__=1509612298_afc0089b0d51c04b5232928db8b7a2c7)

- [A deep convolutional neural network model to classify heatbeats](http://www.sciencedirect.com/science/article/pii/S0010482517302810?via%3Dihub)

- [Learning Robust Features using Deep Learning for Automatic Seizure Detection](https://arxiv.org/pdf/1608.00220.pdf)



### Time-Series Transfer to Images

- [Encoding Time Series as Images for Visual Inspection and Classification Using Tiled Convolutional Neural Networks](https://aaai.org/ocs/index.php/WS/AAAIW15/paper/viewFile/10179/10251)

- [Spatially Encoding Temporal Correlations to Classify Temporal Data Using Convolutional Neural Networks](https://arxiv.org/pdf/1509.07481.pdf)

- [Encoding Physiological Signals as Images for Affective State Recognition Using Convolutional Neural Networks](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7590825)

- [Representation Learning Deconvolutional for Multivariate Time Seres Classification](https://arxiv.org/pdf/1610.07258.pdf)

 

## Imbalanced Time-Series Classification

### Sampling

- [Model-Based Oversampling for Imbalanced Sequence Classification](http://home.ustc.edu.cn/~zcgong/Paper/Model-Based%20Oversampling%20for%20Imbalanced%20Sequence%20Classification.pdf)

- [Integrated Oversampling for Imbalanced Time Series Classification](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6468038)

- [An Effective Method for Imbalanced Time Series Classification: Hybrid Sampling](https://link.springer.com/chapter/10.1007/978-3-319-03680-9_38)

- [SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6137306)

- [A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification](https://link.springer.com/chapter/10.1007/978-3-642-35101-3_54)

- [Improving SVM classification on imbalanced time series data sets with ghost points](https://link.springer.com/content/pdf/10.1007%2Fs10115-010-0310-3.pdf)

- [A Parsimonious Mixture of Gaussian Trees Model for Oversampling in Imbalanced and Multimodal Time-Series Classification](http://ieeexplore.ieee.org/document/6766252/)



### Cost-Sensitive

- [Cost-Sensitive Learning Methods for imbalanced data](https://www.ismll.uni-hildesheim.de/pub/pdfs/Nguyen_et_al_IJCNN2010_CSL.pdf)

- [Cost Sensitive Time-Series Classification](http://ecmlpkdd2017.ijs.si/papers/paperID652.pdf)



### Others

- [A New Methodology Based on Imbalanced Classification for Predicting Outliers in Electricity Demand Time Series](https://www.google.com.hk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwjonvuPxJ_XAhUJi5QKHS0xBisQFgglMAA&url=http%3a%2f%2fwww%2emdpi%2ecom%2f1996-1073%2f9%2f9%2f752%2fpdf&usg=AOvVaw1UQ_iUV8hAsAT6APOYexAZ)

 

## Time-Series Classification

- [The Great Time Series Classification Bake Off An Experimental Evaluation of Recently Proposed Algorithms. Extended Version](https://arxiv.org/pdf/1602.01711.pdf)

- [Support vector-based algorithms with weight dynamic time warping kernel function for time series classification](http://www.sciencedirect.com/science/article/pii/S095070511400433X)

- [Early classification on multivariate time series](http://www.sciencedirect.com/science/article/pii/S092523121401008X)

- [Imaging Time-Series to Improve Classification and Imputation](https://arxiv.org/pdf/1506.00327.pdf)

 

## Imbalance CLassification

### Survey

- [An insight into classification with imbalanced data: empirical results and current trends on using data intrinsic characteristics](http://www.sciencedirect.com/science/article/pii/S0020025513005124)

- [Learning from class-imbalanced data: review of methods and applications](http://www.sciencedirect.com/science/article/pii/S0957417416307175)

- [Learning from imbalanced data](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5128907)

### Sampling

- [A novel algorithm for imbalance data classification based on genetic algorithm improved SMOTE](https://link.springer.com/content/pdf/10.1007%2Fs13369-016-2179-2.pdf)

- [A novel svm modeling approach for highly imbalanced and overlapping classification](https://www.semanticscholar.org/paper/A-novel-SVM-modeling-approach-for-highly-imbalance-Qu-Su/29c916af897e998b6d8292c58d145f83e8e95dad)

- [Evolutionary data analysis for the class imbalance problem](https://dl.acm.org/citation.cfm?id=1735168)

- [Resampling-based ensemble methods for online class imbalance Learning](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6871400)

- [Adaptive ensemble undersampling-boosting: a novel learning framework for imbalanced data](http://www.sciencedirect.com/science/article/pii/S0164121217301395)

- [Fault detection for the class imbalance problem in semiconductor manufacturing processes](http://www.worldscientific.com/doi/abs/10.1142/S0218126614500492)

### Cost-sensitive

- [Instance categorization by support vector machines to adjust weights in adaboost for imbalanced data classification](http://www.sciencedirect.com/science/article/pii/S0020025516318047)

- [Optimizing Cost-sensitive svm for imbalanced data: Connecting cluster to classification](https://arxiv.org/pdf/1702.01504.pdf)

### Thresholding

- [Reviving threshold-moving: a simple plug-in bagging ensemble for binary and multiclass imbalanced data](https://arxiv.org/ftp/arxiv/papers/1606/1606.08698.pdf)

- [Dealing with class imbalance using thresholding](https://arxiv.org/pdf/1607.02705.pdf)

### others

- [Classifying imbalanced data sets using similarity based hierarchical decomposition](http://www.sciencedirect.com/science/article/pii/S003132031400449X)